In an era where sensitive data is a prime target for cyberattacks and compliance violations, effective data classification is the critical first step in safeguarding information. Recognizing the ...

A data storage strategy that addresses data sovereignty builds on the classification of data in the data audit to limit what data can go where. As part of the classification process, data will be ...

An effective data loss prevention (DLP) strategy is essential for protecting your organization's data, but without proper data classification, even the best DLP tools can fall short. Data ...

What bothers me the most is that it is almost *never* the low ranking people who screw stuff up like this. In my own personal experience it has almost ALWAYS been the higher ranks who screw stuff up.

The addition of LLM to Sentra’s classification engine allows scanning and classifying sensitive enterprise data like source codes, and employee details. Classifying sensitive unstructured data like ...

Organizations have a lot of data — application data, log files, personal information, source code, customer information, business collateral, and credentials, to name a few — and the volume continues ...

The latest trends in software development from the Computer Weekly Application Developer Network. This is a guest post for the Computer Weekly Developer Network written by Krishna Narayanaswarmy in ...

Here's a complete end-to-end demo of what Dr. James McCaffrey of Microsoft Research says is arguably the simplest possible classification technique. The goal of a machine learning classification ...

The Federal Government has begun moves for data classification and hosting of certain categories of data within the country. This, the government said, would enable the country to attain digital ...